CN112774035A - Self-adaptive closed-loop detection method and system for implantable electrical stimulation device - Google Patents
Self-adaptive closed-loop detection method and system for implantable electrical stimulation device Download PDFInfo
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- A61N1/00—Electrotherapy; Circuits therefor
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Abstract
One or more embodiments of the present specification disclose an adaptive closed-loop detection method and system for an implantable electrical stimulation device. The self-adaptive closed-loop detection method for the implantable electrical stimulation device comprises the following steps: setting a desired detection rate and an initial detection threshold; performing closed-loop detection on a sampling signal in a current set time period based on the initial detection threshold value to obtain the current detection rate; comparing the current detection rate to the expected detection rate; if the current detectable rate is not in the set range of the expected detectable rate, adaptively modifying the initial detectable threshold value to continue sampling signal closed-loop detection until the current detectable rate is in the set range of the expected detectable rate; the latest modified initial detection threshold is used as a target detection threshold, so that the detection rate of signal detection can be improved, and the disease can be accurately detected, thereby intervening in the disease in time.
Description
Technical Field
The present invention relates to the technical field of medical devices, and in particular, to a method and a system for adaptive closed-loop detection of an implantable electrical stimulation device.
Background
At present, implantable medical systems are widely used in medical clinics, including implantable electrical stimulation systems, implantable drug injection systems, and the like. The implantable electrical stimulation system mainly comprises an implantable electric pulse generator implanted in a body, a stimulation electrode and a controller in vitro. The electric stimulation pulse generated by the implanted electric pulse generator is transmitted to the stimulation electrode, and the stimulation electrode transmits the electric stimulation pulse to a specific nerve target point so as to carry out electric stimulation, thereby treating diseases such as Parkinson, epilepsy and the like.
Generally, an implantable electrical pulse generator collects physiological signals through a collection circuit before electrically stimulating neural targets to treat a condition in order to determine whether a patient has developed or is about to develop an illness based on the sampled signals. And if the disease is already or about to occur, adjusting the implanted electric pulse generator to send the electric stimulation pulse to the stimulation electrode so as to intervene or intervene in advance to prevent the occurrence of the diseases such as Parkinson, epilepsy and the like. However, the detection rate of the current implantable electrical stimulation device to diseases such as Parkinson, epilepsy and the like is low, so that the diseases cannot be accurately and timely interfered. How to improve the detection rate of signal detection and accurately detect diseases so as to intervene in time becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
One or more embodiments of the present disclosure are directed to a method and a system for adaptive closed-loop detection of an implantable electrical stimulation device, which can improve a detection rate of signal detection, accurately detect a disease, and timely intervene in the disease.
To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:
in a first aspect, an adaptive closed-loop detection method for an implantable electrical stimulation device is provided, including: setting a desired detection rate and an initial detection threshold; performing closed-loop detection on a sampling signal in a current set time period based on the initial detection threshold value to obtain the current detection rate; comparing the current detection rate to the expected detection rate; if the current detectable rate is not in the set range of the expected detectable rate, adaptively modifying the initial detectable threshold value to continue sampling signal closed-loop detection until the current detectable rate is in the set range of the expected detectable rate; and taking the latest modified initial detection threshold as a target detection threshold.
In a second aspect, an implantable electrical stimulation device is provided, comprising: a setting module for setting a desired detection rate and an initial detection threshold; the detection module is used for carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold value to obtain the current detection rate; a comparison module for comparing the current detectable rate with the expected detectable rate; the detection module is further configured to adaptively modify the initial detection threshold to continue the closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate until the current detection rate is within the set range of the expected detection rate; the threshold acquisition module is further configured to use the latest modified initial detection threshold as a target detection threshold.
In a third aspect, an implantable electrical stimulation system is provided, the system comprising an external device and an implantable electrical stimulation apparatus as described above, the external device being communicatively coupled to the implantable electrical stimulation apparatus.
In a fourth aspect, a storage medium for a computer readable storage is proposed, the storage medium storing one or more programs which, when executed by one or more processors, implement the steps of the adaptive closed-loop detection method as described above.
As can be seen from the technical solutions provided in one or more embodiments of the present disclosure, in the adaptive closed-loop detection method for an implantable electrical stimulation device provided in the present application, after a desired detection rate and an initial detection threshold are set, closed-loop detection is performed on a sampling signal within a current set time period based on the initial detection threshold, and after the current set time period is ended, the current detection rate is obtained. Next, comparing the current detectable rate with the expected detectable rate; if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate; and finally, taking the latest modified initial detection threshold as a target detection threshold. After a target detection threshold corresponding to the desired detection rate is obtained, closed-loop detection of the sampling signal may be performed in a next set time period using the target detection threshold, so that the desired detection rate may be acquired. Therefore, the self-adaptive detection mode can improve the detection rate of signal detection, so that the diseases can be accurately detected, and the diseases can be intervened in time.
Drawings
In order to more clearly illustrate one or more embodiments or prior art solutions of the present specification, reference will now be made briefly to the attached drawings, which are needed in the description of one or more embodiments or prior art, and it should be apparent that the drawings in the description below are only some of the embodiments described in the specification, and that other drawings may be obtained by those skilled in the art without inventive exercise.
Fig. 1 is a schematic step diagram of an adaptive closed-loop detection method for an implantable electrical stimulation device according to an embodiment of the present disclosure.
Fig. 2 is a schematic step diagram of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of the present disclosure.
Fig. 3 is a schematic step diagram of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of the present specification.
Fig. 4 is a schematic step diagram of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of the present specification.
Fig. 5 is a schematic step diagram of another adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of the present specification.
Fig. 6 is a schematic structural diagram of an implantable electrical stimulation device provided in an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions in the present specification better understood, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the accompanying drawings in one or more embodiments of the present specification, and it is obvious that the one or more embodiments described are only a part of the embodiments of the present specification, and not all embodiments. All other embodiments that can be derived by a person skilled in the art from one or more of the embodiments described herein without making any inventive step shall fall within the scope of protection of this document.
The self-adaptive closed-loop detection method for the implantable electrical stimulation device can improve the detection rate of signal detection and accurately detect the symptoms, so that the symptoms can be intervened in time. The adaptive closed-loop detection method for an implantable electrical stimulation device and the steps thereof provided by the present application will be described in detail below.
The implantable electrical stimulation device can be implanted into a human body, the brain tissue is contacted with the electrodes to collect electroencephalogram signals of the brain tissue of the human body, and the stimulation circuit is adjusted to send electric pulse signals after the information displayed by the sampling signals is analyzed and judged, so that the electroencephalogram signals of the brain tissue are interfered.
Example one
Referring to fig. 1, a self-adaptive closed-loop detection method for an implantable electrical stimulation device provided in an embodiment of the present disclosure is applicable to an implantable electrical stimulation device and system in clinical medicine, and may perform closed-loop detection of a sampling signal for a patient with epilepsy or the like, and find occurrence of a disease in time or in advance according to a judgment of the sampling signal in a closed-loop detection process, so as to intervene in therapy as early as possible and avoid occurrence of an event such as epilepsy or the like. The closed-loop detection mentioned here is to complete the detection process by itself and adaptively modify the initial detection threshold without human intervention. The self-adaptive closed-loop detection method for the implanted electric stimulation device can improve the detection rate of signal detection in the real-time detection process and accurately detect diseases. The self-adaptive closed-loop detection method for the implantable electrical stimulation device provided by the embodiment of the specification comprises the following steps:
step 10: setting a desired detection rate and an initial detection threshold;
a desired detection rate, which is desired in a currently set period of time during which closed-loop detection of the sampling signal is next performed, is first set. The expected detection rate may be set according to the actual condition of the patient's condition, for example, the current set time period is one week, and the doctor may set the expected detection rate for the detected epilepsy within the current set time period to be 80%. The desired detection rate may be stored in a memory chip of a micro-control unit in the implantable electrical stimulation apparatus. The implantable electrical stimulation device mainly comprises a sampling circuit, a micro control unit and a stimulation circuit, wherein the sampling circuit is in contact with brain tissues through electrode contacts, electroencephalogram signals of an implanted position are collected through electrodes to serve as sampling signals, and the sampling signals are transmitted to the micro control unit. The micro control unit coordinates mutual cooperation of all parts in the implanted electric stimulation device, processes the sampling signal and then adjusts an electric pulse signal sent by the stimulation circuit according to a processing result. The stimulation circuit is contacted with brain tissue through the electrode contact, and sends electric pulses to the position where the electrode is implanted after receiving the adjustment instruction and the electric stimulation instruction sent by the micro control unit.
The self-adaptive closed-loop detection method provided by the embodiment of the specification can be suitable for timely or early finding the occurrence of the disease according to the judgment of the sampling signal in the detection process, the detection rate of signal detection can be improved, and the disease can be accurately detected.
The initial detection threshold may be a correspondence between an expected detection rate obtained by a doctor according to empirical data and the initial detection threshold, or may be set directly by the empirical data. The initial detection threshold is an empirical value, and is not suitable enough due to individual differences of different patients, so that symptoms cannot be accurately detected based on the acquired sampling signals, the initial detection threshold needs to be further optimized, the individual differences of different patients are met, and the detection rate is improved.
In the case where it is not determined whether the initial detection threshold is appropriate, half of the initial detection threshold may be used as the initial detection threshold to detect the sampling signal.
Step 20: performing closed-loop detection on the sampling signal in the current set time period based on the initial detection threshold value to obtain the current detection rate;
and after the initial detection threshold is determined, carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold until the current set time period is ended, and counting to obtain the current detection rate.
Step 30: comparing the current detection rate with the expected detection rate;
and then comparing the current detectable rate obtained based on the initial detection threshold value in the current set time period with the expected detectable rate to determine whether the current detectable rate reaches the expected detectable rate. The comparison may be a simple comparison of the sizes, or may be a comparison of the current detection rate with a set range of the desired detection rate, and a determination is made as to whether the current detection rate falls within the set range of the desired detection rate.
Step 40: if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate;
if the current detection rate is not within the set range of the expected detection rate, after the initially set initial detection threshold value is adaptively modified, the modified initial detection threshold value is continuously adopted to continuously perform sampling signal closed-loop detection, after the current detection rate within a new current set time period is obtained, the current detection rate is compared with the expected detection rate, and the modification of the initial detection threshold value is stopped until the current detection rate is within the set range of the expected detection rate.
Step 50: and taking the latest modified initial detection threshold as a target detection threshold.
And after the initial detection threshold value is stopped being modified, the latest modified initial detection threshold value is used as a target detection threshold value, and then closed-loop detection of the sampling signal is carried out.
Referring to fig. 2, in some embodiments, in the adaptive closed-loop detection method provided by the embodiments of the present specification, step 40: if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal, specifically comprising the following steps:
step 400: removing half of the initial detection threshold value if the current detection rate is smaller than the lower limit value of the set range of the expected detection rate;
the setting range of the desired detection rate may be set based on actual clinical experience, and the current detection rate may be considered to substantially satisfy the desired detection rate as long as it is within the setting range of the desired detection rate. If the current detection rate is smaller than the lower limit value of the set range of the expected detection rate, the initial detection threshold value is high, and the abnormal sampling signal with the upcoming symptoms cannot be detected in a closed loop mode in time when the sampling signal is detected in a closed loop mode. In this case, the initial detection threshold value may be halved, and then closed-loop detection of the sampling signal may be performed according to the half initial detection threshold value.
Step 410: and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
And performing closed-loop detection on the sampling signal in the next set time period according to the half initial detection threshold, wherein the detection threshold is the modified initial detection threshold, namely performing closed-loop detection on the sampling signal according to the half of the previous initial detection threshold. If the sampling signal is greater than the half of the initial detection threshold, the number of detections is increased once.
It should be noted here that each set time period corresponds to one detection rate and one initial detection threshold.
Referring to fig. 3, in some embodiments, in the adaptive closed-loop detection method provided by the embodiments of the present specification, step 40: if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue electroencephalogram signal detection, and specifically comprising the following steps:
step 420: if the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is doubled;
the setting range of the desired detection rate may be set based on actual clinical experience, and the current detection rate may be considered to substantially satisfy the desired detection rate as long as it is within the setting range of the desired detection rate. If the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is low, and the condition that the sampling signal is slightly abnormal is also detected when the sampling signal is detected in a closed loop mode, so that the conditions of epilepsy and the like which are generated or about to be generated cannot be accurately distinguished. In this case, the initial detection threshold may be increased by one time, and then closed-loop detection of the sampling signal may be performed at twice the initial detection threshold.
Step 430: and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
And performing closed-loop detection on the sampling signal according to twice of the initial detection threshold, wherein the detection threshold is the modified initial detection threshold, namely performing closed-loop detection on the sampling signal according to twice of the last initial detection threshold. If the sampling signal is greater than the twice initial detection threshold, the number of detections is increased once.
Referring to FIG. 4, in some embodiments, step 30: after comparing the current detection rate with the expected detection rate, the adaptive closed-loop detection method provided in the embodiments of the present specification further includes:
step 70: and if the current detection rate is within the set range of the expected detection rate, taking the initial detection threshold as a target detection threshold corresponding to the expected detection rate.
After comparing the current detection rate with the desired detection rate, if the current detection rate is within the set range of the desired detection rate, the initial detection threshold is set as the target detection threshold corresponding to the desired detection rate. Therefore, the target detection threshold can be adopted to carry out closed-loop detection on the sampling signal in the next set time period.
A specific embodiment of the adaptive closed-loop detection method for an implantable electrical stimulation device provided by the present application is described in detail below with reference to fig. 5:
1. a doctor sets an expected detection rate N of detecting epilepsy in a current set time period, and stores the expected detection rate N in a storage unit of a Micro Control Unit (MCU);
2. taking an initial detection threshold of the epileptic disorder as a range of T1 (1/2T 1 can be taken under uncertain conditions), and taking a current detection rate obtained after the T1 is used for collecting electroencephalogram signals in a closed loop in a current set time period as N1;
3. comparing the size of N and N1 in a comparator, wherein if N1 is less than 0.9N, T2 is 1/2T1, and if N1 is greater than 1.1N, T2 is 2T 1;
4. taking T2 as an initial detection threshold value, and acquiring an electroencephalogram signal in a next set time period in a closed loop manner to obtain a current detection rate corresponding to the next set time period, and recording as N2;
5. further comparing N with N2, if N2<0.9N, then T3 is 1/2T2, and if N2>1.1N, then T3 is 2T 2; taking T3 as an initial detection threshold value, and acquiring electroencephalogram signals in a closed loop in a next set time period to obtain a current detection rate corresponding to the next set time period, wherein the current detection rate is recorded as N3;
6. and continuously comparing N with N3 until Nm is more than or equal to 0.9N and less than or equal to 1.1N, and obtaining the latest modified initial detection threshold Tm, which is the target detection threshold.
Through the technical scheme, the self-adaptive closed-loop detection method for the implantable electrical stimulation device is characterized in that an expected detectable rate and an initial detectable threshold are set; and carrying out closed-loop detection on the sampling signal in the current set time period based on the initial detection threshold value, and obtaining the current detection rate after the current set time period is ended. Next, comparing the current detectable rate with the expected detectable rate; if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate; and finally, taking the latest modified initial detection threshold as a target detection threshold. After a target detection threshold corresponding to the desired detection rate is obtained, closed-loop detection of the sampling signal may be performed in a next set time period using the target detection threshold, so that the desired detection rate may be acquired. Therefore, the self-adaptive detection mode can improve the detection rate of signal detection, so that the diseases can be accurately detected, and the diseases can be intervened in time.
Example two
Referring to fig. 6, an implantable electrical stimulation device 1 provided in this specification is an implantable electrical stimulation device suitable for an implantable electrical stimulation system in clinical medicine, and may detect a sampling signal of a patient with epilepsy or the like, and find the occurrence of a disease in time or in advance according to a judgment of the sampling signal in a detection process, so as to intervene in therapy as early as possible and avoid the occurrence of events such as epilepsy or the like. The detection parameter optimization method for the implanted electrical stimulation device can improve the detection rate of signal detection in the real-time detection process and accurately detect diseases. The implantable electrical stimulation device comprises:
a setting module 10 for setting a desired detection rate and an initial detection threshold;
a desired detection rate, which is desired in a currently set period of time during which closed-loop detection of the sampling signal is next performed, is first set. The expected detection rate may be set according to the actual condition of the patient's condition, for example, the current set time period is one week, and the doctor may set the expected detection rate for the detected epilepsy within the current set time period to be 80%. The desired detection rate may be stored in a memory chip of a micro-control unit in the implantable electrical stimulation apparatus. The implantable electrical stimulation device mainly comprises a sampling circuit, a micro control unit and a stimulation circuit, wherein the sampling circuit is in contact with brain tissues through electrode contacts, electroencephalogram signals of an implanted position are collected through electrodes to serve as sampling signals, and the sampling signals are transmitted to the micro control unit. The micro control unit coordinates mutual cooperation of all parts in the implanted electric stimulation device, processes the sampling signal and then adjusts an electric pulse signal sent by the stimulation circuit according to a processing result. The stimulation circuit is contacted with brain tissue through the electrode contact, and sends electric pulses to the position where the electrode is implanted after receiving the adjustment instruction and the electric stimulation instruction sent by the micro control unit.
The self-adaptive closed-loop detection device provided by the embodiment of the specification can be suitable for timely finding the occurrence of diseases in the detection process according to the judgment of the sampling signal or finding the occurrence of the diseases in advance, the detection rate of signal detection can be improved, and the diseases can be accurately detected.
The initial detection threshold may be a correspondence table between the expected detection rate obtained by the doctor based on the empirical data and the initial detection threshold, or may be an initial detection threshold set by the empirical data. The initial detection threshold is an empirical value, and is not suitable enough due to individual differences of different patients, so that symptoms cannot be accurately detected based on the acquired sampling signals, the initial detection threshold needs to be further optimized, the individual differences of different patients are met, and the detection rate is improved.
In the case where it is not determined whether the initial detection threshold is appropriate, half of the initial detection threshold may be used as the initial detection threshold to detect the sampling signal.
The detection module 20 is configured to perform closed-loop detection on the sampling signal within a current set time period based on an initial detection threshold value, so as to obtain a current detection rate;
and after the initial detection threshold is determined, carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold, increasing the current detection times once when the sampling signal exceeds the initial detection threshold until the current set time period is ended, and counting to obtain the current detection rate.
A comparison module 30 for comparing the current detectable rate with the expected detectable rate; and the number of the first and second groups,
and then comparing the current detectable rate obtained based on the initial detection threshold value in the current set time period with the expected detectable rate to determine whether the current detectable rate reaches the expected detectable rate. The comparison may be a simple comparison of the secondary sizes, or may be a comparison of the current detection rate with a set range of the desired detection rate, and a determination is made as to whether the current detection rate falls within the set range of the desired detection rate.
The detection module 20 is further configured to modify the initial detection threshold to continue the closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate until the current detection rate is within the set range of the expected detection rate;
if the current detection rate is not within the set range of the expected detection rate, after the initially set initial detection threshold value is adaptively modified, the modified initial detection threshold value is continuously adopted to continuously perform sampling signal closed-loop detection, after the current detection rate within a new current set time period is obtained, the current detection rate is compared with the expected detection rate, and the modification of the initial detection threshold value is stopped until the current detection rate is within the set range of the expected detection rate.
The setting module 10 is further configured to use the latest modified initial detection threshold as the target detection threshold.
And after the initial detection threshold value is stopped being modified, carrying out sampling signal closed loop detection in the next set time period by taking the latest modified initial detection threshold value as a target detection threshold value.
In some embodiments, in the implantable electrical stimulation device provided in the embodiments of the present specification, the detection module 20 is specifically configured to:
removing half of the initial detection threshold value if the current detection rate is smaller than the lower limit value of the set range of the expected detection rate;
the setting range of the desired detection rate may be set based on actual clinical experience, and the current detection rate may be considered to substantially satisfy the desired detection rate as long as it is within the setting range of the desired detection rate. If the current detection rate is smaller than the lower limit value of the set range of the expected detection rate, the initial detection threshold value is high, and the abnormal sampling signal with the upcoming symptoms cannot be detected in a closed loop manner in advance when the sampling signal is detected in a closed loop manner. In this case, the initial detection threshold value may be halved, and then closed-loop detection of the sampling signal may be performed according to the half initial detection threshold value.
And carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
And performing closed-loop detection on the sampling signal in the next set time period according to the half initial detection threshold, wherein the detection threshold is the modified initial detection threshold, namely performing closed-loop detection on the sampling signal according to the half of the previous initial detection threshold. If the sampling signal is larger than the half of the initial detection threshold value, the detection times are increased once.
It should be noted here that each set time period corresponds to one detection rate and one initial detection threshold.
In some embodiments, in the implantable electrical stimulation device provided in the embodiments of the present specification, the detection module 20 is further specifically configured to:
if the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is doubled;
the setting range of the desired detection rate may be set based on actual clinical experience, and the current detection rate may be considered to substantially satisfy the desired detection rate as long as it is within the setting range of the desired detection rate. If the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is low, and the condition that the sampling signal is slightly abnormal is also detected when the sampling signal is detected in a closed loop mode, so that the conditions of epilepsy and the like which are generated or about to be generated cannot be accurately distinguished. In this case, the initial detection threshold may be increased by one time, and then closed-loop detection of the sampling signal may be performed at twice the initial detection threshold.
And carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
And carrying out closed-loop detection on the sampling signal in the next set time period according to twice of the initial detection threshold, wherein the detection threshold is the modified initial detection threshold, namely, carrying out closed-loop detection on the sampling signal according to twice of the last initial detection threshold. If the sampling signal is greater than the twice initial detection threshold, the number of detections is increased once.
In some embodiments, in the implantable electrical stimulation device provided in the embodiments of the present specification, the setting module 10, after the comparing module 30 compares the current detection rate with the expected detection rate, is further configured to:
and if the current detection rate is within the set range of the expected detection rate, taking the initial detection threshold as a target detection threshold.
After comparing the current detection rate with the desired detection rate, if the current detection rate is within the set range of the desired detection rate, the initial detection threshold is set as the target detection threshold. Therefore, the target detection threshold can be adopted to carry out closed-loop detection on the sampling signal in the next set time period.
Through the technical scheme, the implantable electrical stimulation device provided by the application sets the expected detection rate and the initial detection threshold value; and after the expected detection rate and the initial detection threshold are determined, carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold, and obtaining the current detection rate after the current set time period is finished. Next, comparing the current detectable rate with the expected detectable rate; if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate; and finally, taking the latest modified initial detection threshold as a target detection threshold. After a target detection threshold corresponding to the desired detection rate is obtained, closed-loop detection of the sampling signal may be performed in a next set time period using the target detection threshold, so that the desired detection rate may be acquired. Therefore, the self-adaptive detection mode can improve the detection rate of signal detection, so that the diseases can be accurately detected, and the diseases can be intervened in time.
EXAMPLE III
The implantable electrical stimulation system provided by the embodiments of the present specification includes an external device and the implantable electrical stimulation apparatus shown in fig. 6, where the external device is communicatively connected to the implantable electrical stimulation apparatus. The implantable electrical stimulation device comprises:
a setting module 10 for setting a desired detection rate and an initial detection threshold;
a desired detection rate, which is desired in a currently set period of time during which closed-loop detection of the sampling signal is next performed, is first set. The expected detection rate may be set according to the actual condition of the patient's condition, for example, the current set time period is one week, and the doctor may set the expected detection rate for the detected epilepsy within the current set time period to be 80%. The desired detection rate may be stored in a memory chip of a micro-control unit in the implantable electrical stimulation apparatus. The implantable electrical stimulation device mainly comprises a sampling circuit, a micro control unit and a stimulation circuit, wherein the sampling circuit is in contact with brain tissues through electrode contacts, electroencephalogram signals of an implanted position are collected through electrodes to serve as sampling signals, and the sampling signals are transmitted to the micro control unit. The micro control unit coordinates mutual cooperation of all parts in the implanted electric stimulation device, processes the sampling signal and then adjusts an electric pulse signal sent by the stimulation circuit according to a processing result. The stimulation circuit is contacted with brain tissue through the electrode contact, and sends electric pulses to the position where the electrode is implanted after receiving the adjustment instruction and the electric stimulation instruction sent by the micro control unit.
The self-adaptive closed-loop detection device provided by the embodiment of the specification can be suitable for timely finding the occurrence of diseases in the detection process according to the judgment of the sampling signal or finding the occurrence of the diseases in advance, the detection rate of signal detection can be improved, and the diseases can be accurately detected.
The initial detection threshold may be obtained from a correspondence table between the expected detection rate obtained by the doctor according to the empirical data and the initial detection threshold, or may be set according to the empirical data. The initial detection threshold is an empirical value, and is not suitable enough due to individual differences of different patients, so that symptoms cannot be accurately detected based on the acquired sampling signals, the initial detection threshold needs to be further optimized, the individual differences of different patients are met, and the detection rate is improved.
In the case where it is not determined whether the initial detection threshold is appropriate, half of the initial detection threshold may be used as the initial detection threshold to detect the sampling signal.
The detection module 20 is configured to perform closed-loop detection on the sampling signal within a current set time period based on an initial detection threshold value, so as to obtain a current detection rate;
and after the initial detection threshold is determined, carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold, increasing the current detection rate once when the sampling signal exceeds the initial detection threshold until the current set time period is ended, and counting to obtain the current detection rate.
A comparison module 30 for comparing the current detectable rate with the expected detectable rate; and the number of the first and second groups,
and then comparing the current detectable rate obtained based on the initial detection threshold value in the current set time period with the expected detectable rate to determine whether the current detectable rate reaches the expected detectable rate. The comparison may be a simple comparison of the sizes, or may be a comparison of the current detection rate with a set range of the desired detection rate, and a determination is made as to whether the current detection rate falls within the set range of the desired detection rate.
The detection module 20 is further configured to adaptively modify the initial detection threshold to continue the closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate until the current detection rate is within the set range of the expected detection rate;
and if the current detection rate is not in the set range of the expected detection rate, after the initially set initial detection threshold value is modified, continuing to perform sampling signal closed-loop detection by adopting the modified initial detection threshold value, after the current detection rate in a new current set time period is obtained, comparing the current detection rate with the expected detection rate, and stopping modifying the initial detection threshold value until the current detection rate is in the set range of the expected detection rate.
The setting module 10 is further configured to use the latest modified initial detection threshold as the target detection threshold.
And after the initial detection threshold value is stopped being modified, carrying out sampling signal closed loop detection in the next set time period by taking the latest modified initial detection threshold value as a target detection threshold value.
Through the technical scheme, after the expected relevance ratio and the initial detection threshold value are set, the implantable electrical stimulation system carries out sampling signal closed-loop detection in the current set time period based on the initial detection threshold value, and the current relevance ratio is obtained after the current set time period is finished. Next, comparing the current detectable rate with the expected detectable rate; if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate; and finally, taking the latest modified initial detection threshold as a target detection threshold. After the target detection threshold is obtained, closed-loop detection of the sampling signal may be performed in the next set period of time using the target detection threshold, so that a desired detection rate may be acquired. Therefore, the self-adaptive detection mode can improve the detection rate of signal detection, so that the diseases can be accurately detected, and the diseases can be intervened in time.
Example four
A storage medium provided in an embodiment of the present specification is a computer-readable storage medium, where one or more programs are stored, and when the one or more programs are executed by one or more processors, the steps of the adaptive closed-loop detection method shown in fig. 1 to 5 are implemented, where the steps specifically include:
step 10: setting a desired detection rate and an initial detection threshold;
a desired detection rate, which is desired in a currently set period of time during which closed-loop detection of the sampling signal is next performed, is first set. The expected detection rate may be set according to the actual condition of the patient's condition, for example, the current set time period is one week, and the doctor may set the expected detection rate for the detected epilepsy within the current set time period to be 80%. The desired detection rate may be stored in a memory chip of a micro-control unit in the implantable electrical stimulation apparatus. The implantable electrical stimulation device mainly comprises a sampling circuit, a micro control unit and a stimulation circuit, wherein the sampling circuit is in contact with brain tissues through electrode contacts, electroencephalogram signals of an implanted position are collected through electrodes to serve as sampling signals, and the sampling signals are transmitted to the micro control unit. The micro control unit coordinates mutual cooperation of all parts in the implanted electric stimulation device, processes the sampling signal and then adjusts an electric pulse signal sent by the stimulation circuit according to a processing result. The stimulation circuit is contacted with brain tissue through the electrode contact, and sends electric pulses to the position where the electrode is implanted after receiving the adjustment instruction and the electric stimulation instruction sent by the micro control unit.
The self-adaptive closed-loop detection method provided by the embodiment of the specification can be suitable for timely or early finding the occurrence of the disease according to the judgment of the sampling signal in the detection process, the detection rate of signal detection can be improved, and the disease can be accurately detected.
The initial detection threshold may be obtained by a doctor according to a correspondence table between an expected detection rate obtained by empirical data and the initial detection threshold, or may be directly set according to the empirical data. The initial detection threshold is an empirical value, and is not suitable enough due to individual differences of different patients, so that symptoms cannot be accurately detected based on the acquired sampling signals, the initial detection threshold needs to be further optimized, the individual differences of different patients are met, and the detection rate is improved.
In the case where it is not determined whether the initial detection threshold is appropriate, half of the initial detection threshold may be used as the initial detection threshold to detect the sampling signal.
Step 20: performing closed-loop detection on the sampling signal in the current set time period based on the initial detection threshold value to obtain the current detection rate;
and after the initial detection threshold is determined, carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold, increasing the current detection times once when the sampling signal exceeds the initial detection threshold until the current set time period is ended, and counting to obtain the current detection rate.
Step 30: comparing the current detection rate with the expected detection rate;
and then comparing the current detectable rate obtained based on the initial detection threshold value in the current set time period with the expected detectable rate to determine whether the current detectable rate reaches the expected detectable rate. The comparison may be a simple comparison of the sizes, or may be a comparison of the current detection rate with a set range of the desired detection rate, and a determination is made as to whether the current detection rate falls within the set range of the desired detection rate.
Step 40: if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate;
and if the current detection rate is not in the set range of the expected detection rate, after the initially set initial detection threshold value is modified, continuing to perform sampling signal closed-loop detection by adopting the modified initial detection threshold value, after the current detection rate in a new current set time period is obtained, comparing the current detection rate with the expected detection rate, and stopping modifying the initial detection threshold value until the current detection rate is in the set range of the expected detection rate.
Step 50: and taking the latest modified initial detection threshold as a target detection threshold corresponding to the expected detection rate.
And after the initial detection threshold value is stopped being modified, carrying out sampling signal closed loop detection in the next set time period by taking the latest modified initial detection threshold value as a target detection threshold value.
According to the technical scheme, after the expected relevance ratio and the initial detection threshold value are set, the sampling signal closed-loop detection is carried out in the current set time period based on the initial detection threshold value, and the current relevance ratio is obtained after the current set time period is finished. Next, comparing the current detectable rate with the expected detectable rate; if the current detection rate is not in the set range of the expected detection rate, adaptively modifying the initial detection threshold value to continue the closed-loop detection of the sampling signal until the current detection rate is in the set range of the expected detection rate; and finally, taking the latest modified initial detection threshold as a target detection threshold. After the target detection threshold is obtained, closed-loop detection of the sampling signal may be performed in the next set period of time using the target detection threshold, so that a desired detection rate may be acquired. Therefore, the self-adaptive detection mode can improve the detection rate of signal detection, so that the diseases can be accurately detected, and the diseases can be intervened in time.
In short, the above description is only a preferred embodiment of the present disclosure, and is not intended to limit the scope of the present disclosure. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present specification shall be included in the protection scope of the present specification.
The system, apparatus, module or unit illustrated in one or more of the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with a certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Computer-readable storage media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Claims (10)
1. An adaptive closed-loop detection method for an implantable electrical stimulation device, comprising:
setting a desired detection rate and an initial detection threshold;
performing closed-loop detection on a sampling signal in a current set time period based on the initial detection threshold value to obtain the current detection rate;
comparing the current detection rate to the expected detection rate;
if the current detectable rate is not in the set range of the expected detectable rate, adaptively modifying the initial detectable threshold value to continue sampling signal closed-loop detection until the current detectable rate is in the set range of the expected detectable rate;
and taking the latest modified initial detection threshold as a target detection threshold.
2. The adaptive closed-loop detection method according to claim 1, wherein if the current detection rate is not within the set range of the expected detection rate, adaptively modifying the initial detection threshold to continue the closed-loop detection of the sampled signal, specifically includes:
removing half of the initial detection threshold value if the current detection rate is smaller than the lower limit value of the set range of the expected detection rate;
and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
3. The adaptive closed-loop detection method according to claim 1, wherein if the current detection rate is not within the set range of the expected detection rate, the initial detection threshold is adaptively modified to continue the electroencephalogram detection, specifically including:
if the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is doubled;
and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
4. An adaptive closed-loop detection method as defined in any one of claims 1 to 3, after comparing the current detection rate with the desired detection rate, the method further comprising:
and if the current detection rate is within the set range of the expected detection rate, taking the initial detection threshold as the target detection threshold.
5. An implantable electrical stimulation device comprising:
a setting module for setting a desired detection rate and an initial detection threshold;
the detection module is used for carrying out sampling signal closed-loop detection in the current set time period based on the initial detection threshold value to obtain the current detection rate;
a comparison module for comparing the current detectable rate with the expected detectable rate; and the number of the first and second groups,
the detection module is further configured to adaptively modify the initial detection threshold value to continue the closed-loop detection of the sampling signal if the current detection rate is not within the set range of the expected detection rate until the current detection rate is within the set range of the expected detection rate;
the threshold acquisition module is further configured to use the latest modified initial detection threshold as a target detection threshold.
6. The apparatus of claim 5, wherein the detection module is specifically configured to:
removing half of the initial detection threshold value if the current detection rate is smaller than the lower limit value of the set range of the expected detection rate;
and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
7. The apparatus of claim 5, wherein the detection module is further specifically configured to:
if the current detection rate is larger than the upper limit value of the set range of the expected detection rate, the initial detection threshold value is doubled;
and carrying out sampling signal closed-loop detection based on the modified initial detection threshold value.
8. The apparatus of any of claims 5 to 7, the threshold acquisition module, after comparing the current detection rate to the desired detection rate, to further:
and if the current detection rate is within the set range of the expected detection rate, taking the initial detection threshold as the target detection threshold.
9. An implantable electrical stimulation system comprising an external device and an implantable electrical stimulation apparatus as claimed in any one of claims 5 to 8, the external device being communicatively coupled to the implantable electrical stimulation apparatus.
10. A storage medium for computer readable storage, the storage medium storing one or more programs which, when executed by one or more processors, perform the steps of the adaptive closed loop detection method according to any one of claims 1 to 4.
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